Touch-Based Interaction Approach for Network Science Research and Visualization

Abstract

Visualization of network science experimentation results is generally achieved using stovepipe solutions tailored to specific experiments and performance metrics. Based on ZeroMQ, the US Army Research Laboratory (ARL) Visualization Framework presents a language-agnostic, platform-independent approach to connecting data published by probes to visualizations using a publish/subscribe mechanism. Visualizations can be augmented using touch-enabled displays such as the MultiTaction M550L. This report documents adaptation of the MultiTaction display to the ARL Visualization Framework using a Tangible User Interface Object (TUIO).

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2016
Accession Number
AD1002297

Entities

People

  • Andrew Toth
  • John P. Hancock
  • Mathew Aguirre

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Ad Hoc Networks
  • Computing System Architectures
  • Environment
  • Formal Languages
  • Human-Machine Interaction
  • Information Science
  • Language
  • Military Research
  • Mobile Ad Hoc Networks
  • Network Science
  • Networks
  • Operating Systems
  • Simulations
  • Two Dimensional
  • User Interface
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Human-Computer Interaction (HCI).
  • Technical Research and Report Writing.